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BD Excel Formula — Bilingual Enhanced Edition

Generate Excel formulas from descriptions and diagnose spreadsheet errors. Use when writing VLOOKUP formulas, debugging errors, or converting formulas. Supports bilingual documentation and optimized AI agent interaction. 支持中英双语文档与AI助手深度优化。

ClawHub Agent Skills author: bytesagain4 v2.0.1 MIT-0 5 files · 2 scripts body ≈ 142 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Generate Excel formulas from descriptions and diagnose spreadsheet errors.

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

GeneratorPersonal productivitytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "source"

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (Excel Formula — Bilingual Enhanced Edition) differs from the folder (excel-formula)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 5 steps
    • 100Execution cost. Instruction body is 142 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 239: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 5 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

    External checks

    ClawHub: suspicious
    This Excel helper is mostly on-topic, but it quietly keeps a persistent local history of formula and search inputs without clear disclosure or controls.
    LLM: suspicious (high) · VirusTotal: · 11 Sept 2026